Video summary
Trading Memecoins on Axiom: Full Walkthrough + Pro Tips
Main summary
Key takeaways
Finance-focused summary (Memecoin trading on Axiom)
Disclosures / disclaimers
- Not financial advice: “I am not a financial adviser and nothing in this video should be considered financial or investment advice. It’s just educational content…”
- The discussion of the platform is educational, though it’s described as somewhat promotional.
Instruments / tickers / assets mentioned
- Blockchain/Network: Solana (noted as “Salana” in subtitles)
- Memecoins (examples): wif, Bonk
- Trading platform / protocol mentions:
- Axiom (trading terminal)
- Hyperliquid (mentioned in the context of perpetual trading and prior “airdrop” comparison)
- SoulScan
- No traditional equities/ETFs/bonds/FX tickers were mentioned.
Key numbers / performance metrics / explicit figures
Axiom traction / revenue claims
- $1.5 million in a single day
- over $100 million in total
Axiom incentives
- “Points program” expected to lead to an airdrop (amount not quantified)
- Up to 30% of trading fees rakeback via points/rewards
Order execution settings / slippage examples
- If slippage is set too low (example): 1% on an illiquid token → ~99% failure rate (per speaker)
- Recommended slippage: 10% or even 15%+ for brand-new memecoins (illiquid/high volatility scenarios)
- Additional execution guidance: raise slippage to ensure the order confirms.
Discovery / selection framework (time windows)
- Pulse search includes: “spike in both volume and the number of holders in the last hour”
- Mentions tokens “born 5 minutes ago” (implies fast execution is critical)
Risk management / position sizing numbers
- “Silo” allocation: 5%–15% of total crypto portfolio
- Max risk per trade (default): 1%–2% of the memecoin account
- Aggressive case: up to 5% (only if “really really confident”)
- Example account ring-fenced: $2,000
- 1% rule → $20 max per trade
- Survival framing: could be wrong 100 times before being “washed out” under the example sizing
Profit-taking / exit levels
- “2x rule”: if the token doubles, sell half to recoup initial capital
- Tiered scaling out:
- additional sells at 3x and 5x
Volatility magnitude mentioned
- Potential drawdowns: 60%–90% before rebounds/multiples
Platform methodology / step-by-step framework (“Hunter playbook”)
1) Use Axiom’s “three components” as the workflow
-
Pulse dashboard (discovery)
- Scan Solana for new/trending assets
- Metrics/columns used:
- Trending score (momentum/mind share)
- Volume
- Liquidity
- Holder count (caution: easy to game because it reflects unique wallet addresses)
-
Trackers (smart money tracking / wallet stalking)
- Input wallet address or X handle
- Live feed of what wallets are buying/selling
- “Alpha” sourcing ideas:
- Start from top holders of coins that already “mooned” (examples: wif, Bonk)
- Use SoulScan to find wallets that got in early and held
- Possibly source “alpha hunters” from X
- Caveat: large balances don’t guarantee skill—don’t copy blindly.
-
Trading terminal (execution precision)
- Focus on:
- Order types: market vs limit
- Slippage setting
- Focus on:
2) Execution rules: order types + slippage
-
Market orders
- Buy immediately at the current price (fast, but price may be worse)
-
Limit orders
- Set an exact price (more control, but may not fill)
-
Slippage
- Don’t set slippage too low; example: 1% can cause failures on illiquid tokens
- For brand-new memecoins, may need 10% or even 15%+ to get fills
- Goal: ensure the order confirms
3) The repeatable “hunt” system (leads → confluence → vet → trade)
Leads (Pulse setup)
Filter for:
- High trending score
- Low market cap (momentum but “room to run”)
- Spikes in volume and holder count in the last hour
Confluence (Trackers)
- Check whether followed “whale/smart money” wallets are buying the same token
- Interprets this as signal confluence (with a note that copy-trading effects can become self-fulfilling)
5-minute vetting checklist (avoid scams / rug risk)
-
Liquidity check
- Confirm liquidity is locked or burned
- Unlocked liquidity is a hard pass (developers can rug and send token to zero)
-
Holder distribution (via SoulScan)
- Red flag: top 10 wallets hold ~40% of supply
- Use bubble maps to identify wallet clusters (insiders can split holdings across wallets)
-
Contract check
- Renounced contract
- Renounced implies the creator can’t change rules (e.g., disabling sells)
-
“Vibe check”
- Review X/Telegram for genuine activity vs forced engagement/spam from bots/LLMs
-
Website narrative
- Should have a clear, funny/compelling story
- Avoid “cookie cutter template” (described as a low-effort cash grab)
Risk management & performance framework (explicit recommendations)
- Core principle: memecoins are PvP; protect capital first.
- Capital-at-risk rule
- Only trade crypto you’d be “100% willing to set on fire”
- But risk as little as possible
Portfolio siloing
- Create a separate trading account/wallet/mental bucket for memecoins
- Cap total memecoin exposure at 5%–15% of total crypto portfolio
Position sizing
- Risk no more than 1%–2% per trade (up to 5% only if “really really confident”)
- Example: $2,000 ring-fenced → $20 max at 1% risk
Exit plan (decided before entry)
-
Taking profits
- 2x rule: sell half after 2x to reclaim initial stake
- Tiered scaling out: sell at 3x and 5x, let remainder ride
-
Cutting losses
- Prefer a “mental stop-loss” / invalidation point
- Invalidation point = where the trade thesis is proven wrong
- Speaker emphasizes: don’t move stops; accept losses to preserve capital
- Alternative framing: stop-out effectively if the coin goes to zero
Volatility tolerance
- Expect 60%–90% swings on low market cap coins
- Size positions so a full loss to zero matches what you can emotionally/financially tolerate
Behavioral caution
- Avoid FOMO
- Stick to the plan
Explicit recommendations/cautions extracted
- Don’t treat memecoins like lottery tickets; failure is framed as gambling, not luck.
- Don’t infer “community strength” solely from holder count (it can be gamed via multiple wallets).
- Don’t “ape in” without checks: liquidity lock + distribution + contract + vibe + website.
- Execution caution: set slippage realistically—too-low slippage can fail orders.
- Risk caution:
- Strict position sizing (1%–2% max risk/trade typical)
- Silo memecoin capital (5%–15% of total crypto)
- Exit caution: decide profit-taking and invalidation before buying to prevent “round trip” behavior.
Presenters / sources
- Presenter: Lewis (channel host; “This Lewis signing off.”)
- Platform/source referenced: Axiom
- External tools mentioned: Hyperliquid, SoulScan, bubble maps (as a technique/tool), and “token screeners” via Google rug-check (no specific names given).